Untangling the nonlinear “knots” of UK’s housing prices
Constantinos Alexiou and
Sofoklis Vogiazas
Journal of Economic Studies, 2019, vol. 46, issue 5, 1083-1103
Abstract:
Purpose - Housing prices in the UK offer an inspiring, yet a complex and under-explored research area. The purpose of this paper is to investigate the critical factors that affect UK’s housing prices. Design/methodology/approach - The authors utilize the recently developed nonlinear ARDL approach of Shinet al.(2014) over the period 1969–2016. Findings - The authors find that both the long-run and short-run impact of the price-to-rent (PTR) ratio and credit-to-GDP ratio on house prices (HP) is asymmetric whilst ambiguous results are established for mortgage rates, industrial production and equities. Apart from the novel framework of analysis, this study also establishes a positive association between HP and the PTR ratio which suggests a speculative behaviour and could imply the formation of a housing bubble. Originality/value - It is the first study for the UK housing market that explores the underlying fundamental relationships by looking at nonlinearities hence, allowing HP to be tied by asymmetric relationships in the long as well as in the short run. Modelling the inherent nonlinearities enhances significantly the understanding of UK housing market which can prove useful for policymaking and forecasting purposes.
Keywords: UK; Housing prices; Nonlinear autoregressive distributed lag; C22; R21; R31 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jespps:jes-06-2018-0222
DOI: 10.1108/JES-06-2018-0222
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